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The article explains the inner workings of large language models (LLMs) during the inference process, focusing on the key steps involved, including tokenization, encoding, attention, and generation. It provides a detailed technical overview of how LLMs process and generate text, offering insights into the mechanisms that enable their impressive language capabilities.